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<div class="title">TensorDeviceGpu.h</div>  </div>
</div><!--header-->
<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2014 Benoit Steiner &lt;benoit.steiner.goog@gmail.com&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#if defined(EIGEN_USE_GPU) &amp;&amp; !defined(EIGEN_CXX11_TENSOR_TENSOR_DEVICE_GPU_H)</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#define EIGEN_CXX11_TENSOR_TENSOR_DEVICE_GPU_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment">// This header file container defines fo gpu* macros which will resolve to</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment">// their equivalent hip* or cuda* versions depending on the compiler in use</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment">// A separate header (included at the end of this file) will undefine all </span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &quot;TensorGpuHipCudaDefines.h&quot;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160; </div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> {</div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160; </div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">int</span> kGpuScratchSize = 1024;</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160; </div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment">// This defines an interface that GPUDevice can take to use</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="comment">// HIP / CUDA streams underneath.</span></div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="keyword">class </span>StreamInterface {</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160; <span class="keyword">public</span>:</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;  <span class="keyword">virtual</span> ~StreamInterface() {}</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160; </div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;  <span class="keyword">virtual</span> <span class="keyword">const</span> gpuStream_t&amp; stream() <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;  <span class="keyword">virtual</span> <span class="keyword">const</span> gpuDeviceProp_t&amp; deviceProperties() <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160; </div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;  <span class="comment">// Allocate memory on the actual device where the computation will run</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span>* allocate(<span class="keywordtype">size_t</span> num_bytes) <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span> deallocate(<span class="keywordtype">void</span>* buffer) <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160; </div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;  <span class="comment">// Return a scratchpad buffer of size 1k</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span>* scratchpad() <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160; </div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;  <span class="comment">// Return a semaphore. The semaphore is initially initialized to 0, and</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;  <span class="comment">// each kernel using it is responsible for resetting to 0 upon completion</span></div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;  <span class="comment">// to maintain the invariant that the semaphore is always equal to 0 upon</span></div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;  <span class="comment">// each kernel start.</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* semaphore() <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;};</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160; </div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="keyword">class </span>GpuDeviceProperties {</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160; <span class="keyword">public</span>:</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;  GpuDeviceProperties() : </div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;      initialized_(false), first_(true), device_properties_(nullptr) {}</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160; </div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;  ~GpuDeviceProperties() {</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keywordflow">if</span> (device_properties_) {</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;      <span class="keyword">delete</span>[] device_properties_;</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    }</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;  }</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;  </div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;  EIGEN_STRONG_INLINE <span class="keyword">const</span> gpuDeviceProp_t&amp; get(<span class="keywordtype">int</span> device)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <span class="keywordflow">return</span> device_properties_[device];</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;  }</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160; </div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">bool</span> isInitialized()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="keywordflow">return</span> initialized_;</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;  }</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160; </div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;  <span class="keywordtype">void</span> initialize() {</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="keywordflow">if</span> (!initialized_) {</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;      <span class="comment">// Attempts to ensure proper behavior in the case of multiple threads</span></div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;      <span class="comment">// calling this function simultaneously. This would be trivial to</span></div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;      <span class="comment">// implement if we could use std::mutex, but unfortunately mutex don&#39;t</span></div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;      <span class="comment">// compile with nvcc, so we resort to atomics and thread fences instead.</span></div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;      <span class="comment">// Note that if the caller uses a compiler that doesn&#39;t support c++11 we</span></div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;      <span class="comment">// can&#39;t ensure that the initialization is thread safe.</span></div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;      <span class="keywordflow">if</span> (first_.exchange(<span class="keyword">false</span>)) {</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        <span class="comment">// We&#39;re the first thread to reach this point.</span></div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        <span class="keywordtype">int</span> num_devices;</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        gpuError_t status = gpuGetDeviceCount(&amp;num_devices);</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        <span class="keywordflow">if</span> (status != gpuSuccess) {</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;          std::cerr &lt;&lt; <span class="stringliteral">&quot;Failed to get the number of GPU devices: &quot;</span></div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                    &lt;&lt; gpuGetErrorString(status)</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                    &lt;&lt; std::endl;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;          gpu_assert(status == gpuSuccess);</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;        }</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        device_properties_ = <span class="keyword">new</span> gpuDeviceProp_t[num_devices];</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; num_devices; ++i) {</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;          status = gpuGetDeviceProperties(&amp;device_properties_[i], i);</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;          <span class="keywordflow">if</span> (status != gpuSuccess) {</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;            std::cerr &lt;&lt; <span class="stringliteral">&quot;Failed to initialize GPU device #&quot;</span></div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                      &lt;&lt; i</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                      &lt;&lt; <span class="stringliteral">&quot;: &quot;</span></div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;                      &lt;&lt; gpuGetErrorString(status)</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;                      &lt;&lt; std::endl;</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;            gpu_assert(status == gpuSuccess);</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;          }</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        }</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160; </div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;        std::atomic_thread_fence(std::memory_order_release);</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        initialized_ = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;      } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        <span class="comment">// Wait for the other thread to inititialize the properties.</span></div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;        <span class="keywordflow">while</span> (!initialized_) {</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;          std::atomic_thread_fence(std::memory_order_acquire);</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;          std::this_thread::sleep_for(std::chrono::milliseconds(1000));</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        }</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;      }</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    }</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;  }</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160; </div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160; <span class="keyword">private</span>:</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  <span class="keyword">volatile</span> <span class="keywordtype">bool</span> initialized_;</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  std::atomic&lt;bool&gt; first_;</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  gpuDeviceProp_t* device_properties_;</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;};</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160; </div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;EIGEN_ALWAYS_INLINE <span class="keyword">const</span> GpuDeviceProperties&amp; GetGpuDeviceProperties() {</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  <span class="keyword">static</span> GpuDeviceProperties* deviceProperties = <span class="keyword">new</span> GpuDeviceProperties();</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;  <span class="keywordflow">if</span> (!deviceProperties-&gt;isInitialized()) {</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    deviceProperties-&gt;initialize();</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;  }</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;  <span class="keywordflow">return</span> *deviceProperties;</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;}</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160; </div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;EIGEN_ALWAYS_INLINE <span class="keyword">const</span> gpuDeviceProp_t&amp; GetGpuDeviceProperties(<span class="keywordtype">int</span> device) {</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  <span class="keywordflow">return</span> GetGpuDeviceProperties().get(device);</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;}</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160; </div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;<span class="keyword">static</span> <span class="keyword">const</span> gpuStream_t default_stream = gpuStreamDefault;</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160; </div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;<span class="keyword">class </span>GpuStreamDevice : <span class="keyword">public</span> StreamInterface {</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160; <span class="keyword">public</span>:</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;  <span class="comment">// Use the default stream on the current device</span></div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;  GpuStreamDevice() : stream_(&amp;default_stream), scratch_(NULL), semaphore_(NULL) {</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    gpuGetDevice(&amp;device_);</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;  }</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  <span class="comment">// Use the default stream on the specified device</span></div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  GpuStreamDevice(<span class="keywordtype">int</span> device) : stream_(&amp;default_stream), device_(device), scratch_(NULL), semaphore_(NULL) {}</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;  <span class="comment">// Use the specified stream. Note that it&#39;s the</span></div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;  <span class="comment">// caller responsibility to ensure that the stream can run on</span></div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  <span class="comment">// the specified device. If no device is specified the code</span></div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;  <span class="comment">// assumes that the stream is associated to the current gpu device.</span></div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;  GpuStreamDevice(<span class="keyword">const</span> gpuStream_t* stream, <span class="keywordtype">int</span> device = -1)</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;      : stream_(stream), device_(device), scratch_(NULL), semaphore_(NULL) {</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    <span class="keywordflow">if</span> (device &lt; 0) {</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;      gpuGetDevice(&amp;device_);</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;      <span class="keywordtype">int</span> num_devices;</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;      gpuError_t err = gpuGetDeviceCount(&amp;num_devices);</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;      EIGEN_UNUSED_VARIABLE(err)</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;      gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;      gpu_assert(device &lt; num_devices);</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;      device_ = device;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    }</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;  }</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160; </div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  <span class="keyword">virtual</span> ~GpuStreamDevice() {</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <span class="keywordflow">if</span> (scratch_) {</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;      deallocate(scratch_);</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    }</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;  }</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160; </div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;  <span class="keyword">const</span> gpuStream_t&amp; stream()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> *stream_; }</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;  <span class="keyword">const</span> gpuDeviceProp_t&amp; deviceProperties()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    <span class="keywordflow">return</span> GetGpuDeviceProperties(device_);</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;  }</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span>* allocate(<span class="keywordtype">size_t</span> num_bytes)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    gpuError_t err = gpuSetDevice(device_);</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    EIGEN_UNUSED_VARIABLE(err)</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <span class="keywordtype">void</span>* result;</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    err = gpuMalloc(&amp;result, num_bytes);</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    gpu_assert(result != NULL);</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  }</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span> deallocate(<span class="keywordtype">void</span>* buffer)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    gpuError_t err = gpuSetDevice(device_);</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    EIGEN_UNUSED_VARIABLE(err)</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    gpu_assert(buffer != NULL);</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    err = gpuFree(buffer);</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;  }</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160; </div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span>* scratchpad()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    <span class="keywordflow">if</span> (scratch_ == NULL) {</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;      scratch_ = allocate(kGpuScratchSize + <span class="keyword">sizeof</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>));</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    }</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <span class="keywordflow">return</span> scratch_;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;  }</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160; </div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* semaphore()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    <span class="keywordflow">if</span> (semaphore_ == NULL) {</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;      <span class="keywordtype">char</span>* scratch = <span class="keyword">static_cast&lt;</span><span class="keywordtype">char</span>*<span class="keyword">&gt;</span>(scratchpad()) + kGpuScratchSize;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;      semaphore_ = <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>*<span class="keyword">&gt;</span>(scratch);</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;      gpuError_t err = gpuMemsetAsync(semaphore_, 0, <span class="keyword">sizeof</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>), *stream_);</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;      EIGEN_UNUSED_VARIABLE(err)</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;      gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    }</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    <span class="keywordflow">return</span> semaphore_;</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;  }</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160; </div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160; <span class="keyword">private</span>:</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;  <span class="keyword">const</span> gpuStream_t* stream_;</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;  <span class="keywordtype">int</span> device_;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;  <span class="keyword">mutable</span> <span class="keywordtype">void</span>* scratch_;</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;  <span class="keyword">mutable</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* semaphore_;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;};</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160; </div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;<span class="keyword">struct </span>GpuDevice {</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;  <span class="comment">// The StreamInterface is not owned: the caller is</span></div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;  <span class="comment">// responsible for its initialization and eventual destruction.</span></div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;  <span class="keyword">explicit</span> GpuDevice(<span class="keyword">const</span> StreamInterface* stream) : stream_(stream), max_blocks_(INT_MAX) {</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    eigen_assert(stream);</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;  }</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;  <span class="keyword">explicit</span> GpuDevice(<span class="keyword">const</span> StreamInterface* stream, <span class="keywordtype">int</span> num_blocks) : stream_(stream), max_blocks_(num_blocks) {</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    eigen_assert(stream);</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;  }</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;  <span class="comment">// TODO(bsteiner): This is an internal API, we should not expose it.</span></div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;  EIGEN_STRONG_INLINE <span class="keyword">const</span> gpuStream_t&amp; stream()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;stream();</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;  }</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160; </div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">void</span>* allocate(<span class="keywordtype">size_t</span> num_bytes)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;allocate(num_bytes);</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;  }</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160; </div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> deallocate(<span class="keywordtype">void</span>* buffer)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    stream_-&gt;deallocate(buffer);</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;  }</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160; </div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">void</span>* allocate_temp(<span class="keywordtype">size_t</span> num_bytes)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;allocate(num_bytes);</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;  }</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160; </div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> deallocate_temp(<span class="keywordtype">void</span>* buffer)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    stream_-&gt;deallocate(buffer);</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;  }</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160; </div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Type&gt;</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Type get(Type data)<span class="keyword"> const </span>{ </div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    <span class="keywordflow">return</span> data;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  }</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160; </div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">void</span>* scratchpad()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;scratchpad();</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;  }</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160; </div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* semaphore()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;semaphore();</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;  }</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160; </div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> memcpy(<span class="keywordtype">void</span>* dst, <span class="keyword">const</span> <span class="keywordtype">void</span>* src, <span class="keywordtype">size_t</span> n)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;<span class="preprocessor">#ifndef EIGEN_GPU_COMPILE_PHASE</span></div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    gpuError_t err = gpuMemcpyAsync(dst, src, n, gpuMemcpyDeviceToDevice,</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;                                      stream_-&gt;stream());</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    EIGEN_UNUSED_VARIABLE(err)</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;    EIGEN_UNUSED_VARIABLE(dst);</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    EIGEN_UNUSED_VARIABLE(src);</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    EIGEN_UNUSED_VARIABLE(n);</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    eigen_assert(<span class="keyword">false</span> &amp;&amp; <span class="stringliteral">&quot;The default device should be used instead to generate kernel code&quot;</span>);</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;  }</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160; </div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> memcpyHostToDevice(<span class="keywordtype">void</span>* dst, <span class="keyword">const</span> <span class="keywordtype">void</span>* src, <span class="keywordtype">size_t</span> n)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;    gpuError_t err =</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;        gpuMemcpyAsync(dst, src, n, gpuMemcpyHostToDevice, stream_-&gt;stream());</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;    EIGEN_UNUSED_VARIABLE(err)</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;  }</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160; </div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> memcpyDeviceToHost(<span class="keywordtype">void</span>* dst, <span class="keyword">const</span> <span class="keywordtype">void</span>* src, <span class="keywordtype">size_t</span> n)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    gpuError_t err =</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;        gpuMemcpyAsync(dst, src, n, gpuMemcpyDeviceToHost, stream_-&gt;stream());</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    EIGEN_UNUSED_VARIABLE(err)</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  }</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160; </div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> memset(<span class="keywordtype">void</span>* buffer, <span class="keywordtype">int</span> c, <span class="keywordtype">size_t</span> n)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;<span class="preprocessor">#ifndef EIGEN_GPU_COMPILE_PHASE</span></div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    gpuError_t err = gpuMemsetAsync(buffer, c, n, stream_-&gt;stream());</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    EIGEN_UNUSED_VARIABLE(err)</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;    gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;  EIGEN_UNUSED_VARIABLE(buffer)</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;  EIGEN_UNUSED_VARIABLE(c)</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;  EIGEN_UNUSED_VARIABLE(n)</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;  eigen_assert(<span class="keyword">false</span> &amp;&amp; <span class="stringliteral">&quot;The default device should be used instead to generate kernel code&quot;</span>);</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;  }</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160; </div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> fill(T* begin, T* <a class="codeRef" href="../group__Core__Module.html#ga0e45b6b2adead7c6a29815b99f9f14dd">end</a>, <span class="keyword">const</span> T&amp; value)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;<span class="preprocessor">#ifndef EIGEN_GPU_COMPILE_PHASE</span></div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> count = <a class="codeRef" href="../group__Core__Module.html#ga0e45b6b2adead7c6a29815b99f9f14dd">end</a> - begin;</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    <span class="comment">// Split value into bytes and run memset with stride.</span></div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> value_size = <span class="keyword">sizeof</span>(value);</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    <span class="keywordtype">char</span>* buffer = (<span class="keywordtype">char</span>*)begin;</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;    <span class="keywordtype">char</span>* value_bytes = (<span class="keywordtype">char</span>*)(&amp;value);</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;    gpuError_t err;</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;    EIGEN_UNUSED_VARIABLE(err)</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    </div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    <span class="comment">// If all value bytes are equal, then a single memset can be much faster.</span></div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;    <span class="keywordtype">bool</span> use_single_memset = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=1; i&lt;value_size; ++i) {</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;      <span class="keywordflow">if</span> (value_bytes[i] != value_bytes[0]) {</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;        use_single_memset = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;      } </div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    }</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    </div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;    <span class="keywordflow">if</span> (use_single_memset) {</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;      err = gpuMemsetAsync(buffer, value_bytes[0], count * <span class="keyword">sizeof</span>(T), stream_-&gt;stream());</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;      gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> b=0; b&lt;value_size; ++b) {</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;        err = gpuMemset2DAsync(buffer+b, value_size, value_bytes[b], 1, count, stream_-&gt;stream());</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;        gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;      }</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;    }</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;    EIGEN_UNUSED_VARIABLE(begin)</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;    EIGEN_UNUSED_VARIABLE(<a class="codeRef" href="../group__Core__Module.html#ga0e45b6b2adead7c6a29815b99f9f14dd">end</a>)</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    EIGEN_UNUSED_VARIABLE(value)</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;    eigen_assert(<span class="keyword">false</span> &amp;&amp; <span class="stringliteral">&quot;The default device should be used instead to generate kernel code&quot;</span>);</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;  }</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160; </div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">size_t</span> numThreads()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    <span class="comment">// FIXME</span></div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    <span class="keywordflow">return</span> 32;</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;  }</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160; </div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">size_t</span> firstLevelCacheSize()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;    <span class="comment">// FIXME</span></div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    <span class="keywordflow">return</span> 48*1024;</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;  }</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160; </div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">size_t</span> lastLevelCacheSize()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;    <span class="comment">// We won&#39;t try to take advantage of the l2 cache for the time being, and</span></div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;    <span class="comment">// there is no l3 cache on hip/cuda devices.</span></div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;    <span class="keywordflow">return</span> firstLevelCacheSize();</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;  }</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160; </div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> synchronize()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;<span class="preprocessor">#ifndef EIGEN_GPU_COMPILE_PHASE</span></div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;    gpuError_t err = gpuStreamSynchronize(stream_-&gt;stream());</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;    <span class="keywordflow">if</span> (err != gpuSuccess) {</div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;      std::cerr &lt;&lt; <span class="stringliteral">&quot;Error detected in GPU stream: &quot;</span></div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;                &lt;&lt; gpuGetErrorString(err)</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;                &lt;&lt; std::endl;</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;      gpu_assert(err == gpuSuccess);</div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;    }</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;    gpu_assert(<span class="keyword">false</span> &amp;&amp; <span class="stringliteral">&quot;The default device should be used instead to generate kernel code&quot;</span>);</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;  }</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160; </div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">int</span> getNumGpuMultiProcessors()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;deviceProperties().multiProcessorCount;</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;  }</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">int</span> maxGpuThreadsPerBlock()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;deviceProperties().maxThreadsPerBlock;</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;  }</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">int</span> maxGpuThreadsPerMultiProcessor()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;deviceProperties().maxThreadsPerMultiProcessor;</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;  }</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">int</span> sharedMemPerBlock()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;deviceProperties().sharedMemPerBlock;</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;  }</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">int</span> majorDeviceVersion()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;deviceProperties().major;</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;  }</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">int</span> minorDeviceVersion()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    <span class="keywordflow">return</span> stream_-&gt;deviceProperties().minor;</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;  }</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160; </div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">int</span> maxBlocks()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;    <span class="keywordflow">return</span> max_blocks_;</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;  }</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160; </div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;  <span class="comment">// This function checks if the GPU runtime recorded an error for the</span></div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;  <span class="comment">// underlying stream device.</span></div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;  <span class="keyword">inline</span> <span class="keywordtype">bool</span> ok()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;<span class="preprocessor">#ifdef EIGEN_GPUCC</span></div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    gpuError_t error = gpuStreamQuery(stream_-&gt;stream());</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;    <span class="keywordflow">return</span> (error == gpuSuccess) || (error == gpuErrorNotReady);</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;  }</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160; </div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160; <span class="keyword">private</span>:</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;  <span class="keyword">const</span> StreamInterface* stream_;</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;  <span class="keywordtype">int</span> max_blocks_;</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;};</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160; </div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;<span class="preprocessor">#if defined(EIGEN_HIPCC)</span></div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160; </div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;<span class="preprocessor">#define LAUNCH_GPU_KERNEL(kernel, gridsize, blocksize, sharedmem, device, ...)             \</span></div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;<span class="preprocessor">  hipLaunchKernelGGL(kernel, dim3(gridsize), dim3(blocksize), (sharedmem), (device).stream(), __VA_ARGS__); \</span></div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;<span class="preprocessor">  gpu_assert(hipGetLastError() == hipSuccess);</span></div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160; </div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160; </div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;<span class="preprocessor">#define LAUNCH_GPU_KERNEL(kernel, gridsize, blocksize, sharedmem, device, ...)             \</span></div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;<span class="preprocessor">  (kernel) &lt;&lt;&lt; (gridsize), (blocksize), (sharedmem), (device).stream() &gt;&gt;&gt; (__VA_ARGS__);   \</span></div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;<span class="preprocessor">  gpu_assert(cudaGetLastError() == cudaSuccess);</span></div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160; </div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160; </div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;<span class="comment">// FIXME: Should be device and kernel specific.</span></div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;<span class="preprocessor">#ifdef EIGEN_GPUCC</span></div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;<span class="keyword">static</span> EIGEN_DEVICE_FUNC <span class="keyword">inline</span> <span class="keywordtype">void</span> setGpuSharedMemConfig(gpuSharedMemConfig config) {</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;<span class="preprocessor">#ifndef EIGEN_GPU_COMPILE_PHASE</span></div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;  gpuError_t status = gpuDeviceSetSharedMemConfig(config);</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;  EIGEN_UNUSED_VARIABLE(status)</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;  gpu_assert(status == gpuSuccess);</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;  EIGEN_UNUSED_VARIABLE(config)</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;}</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160; </div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;}  <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160; </div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;<span class="comment">// undefine all the gpu* macros we defined at the beginning of the file</span></div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;<span class="preprocessor">#include &quot;TensorGpuHipCudaUndefines.h&quot;</span></div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160; </div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;<span class="preprocessor">#endif  </span><span class="comment">// EIGEN_CXX11_TENSOR_TENSOR_DEVICE_GPU_H</span></div>
<div class="ttc" id="agroup__Core__Module_html_ga0e45b6b2adead7c6a29815b99f9f14dd"><div class="ttname"><a href="../group__Core__Module.html#ga0e45b6b2adead7c6a29815b99f9f14dd">end</a></div><div class="ttdeci">static const lastp1_t end</div></div>
<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div></div>
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